Stéphane Girard

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 26

Top Topics

Intrinsic Dimensionality

High Resolution

Gaussian Process

Top Venues

J. Multivar. Anal.

Comput. Stat. Data Anal.

Publications

Michaël Allouche, Stéphane Girard, Emmanuel Gobet
Estimation of extreme quantiles from heavy-tailed distributions with neural networks. Stat. Comput. 34 (1) (2024)
Meryem Bousebata, Geoffroy Enjolras, Stéphane Girard
Extreme partial least-squares. J. Multivar. Anal. 194 (2023)
Théo Moins, Julyan Arbel, Stéphane Girard, Anne Dutfoy
Reparameterization of extreme value framework for improved Bayesian workflow. Comput. Stat. Data Anal. 187 (2023)
Alexandre Constantin, Mathieu Fauvel, Stéphane Girard
Joint Supervised Classification and Reconstruction of Irregularly Sampled Satellite Image Times Series. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Alexandre Constantin, Mathieu Fauvel, Stéphane Girard
Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series. Stat. Comput. 32 (5) (2022)
Michaël Allouche, Stéphane Girard, Emmanuel Gobet
EV-GAN: Simulation of extreme events with ReLU neural networks. J. Mach. Learn. Res. 23 (2022)
Stéphane Girard, Hadrien Lorenzo, Jérôme Saracco
Advanced topics in Sliced Inverse Regression. J. Multivar. Anal. 188 (2022)
Stéphane Girard, Gilles Stupfler, Antoine Usseglio-Carleve
On automatic bias reduction for extreme expectile estimation. Stat. Comput. 32 (4) (2022)
Michaël Allouche, Stéphane Girard, Emmanuel Gobet
A generative model for fBm with deep ReLU neural networks. J. Complex. 73 (2022)
Mariia Vladimirova, Julyan Arbel, Stéphane Girard
Bayesian neural network unit priors and generalized Weibull-tail property. CoRR (2021)
Mariia Vladimirova, Julyan Arbel, Stéphane Girard
Bayesian neural network unit priors and generalized Weibull-tail property. ACML (2021)
Julyan Arbel, Marta Crispino, Stéphane Girard
Dependence properties and Bayesian inference for asymmetric multivariate copulas. J. Multivar. Anal. 174 (2019)
Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
Extreme-value-theoretic estimation of local intrinsic dimensionality. Data Min. Knowl. Discov. 32 (6) (2018)
Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren
Object-Based Classification of Grasslands from High Resolution Satellite Image Time Series Using Gaussian Mean Map Kernels. Remote. Sens. 9 (7) (2017)
Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard
Potential of Sentinel-2 and SPOT5 (Take5) time series for the estimation of grasslands biodiversity indices. MultiTemp (2017)
Alessandro Chiancone, Florence Forbes, Stéphane Girard
Student Sliced Inverse Regression. Comput. Stat. Data Anal. 113 (2017)
Maïlys Lopes, Mathieu Fauvel, Annie Ouin, Stéphane Girard
Spectro-Temporal Heterogeneity Measures from Dense High Spatial Resolution Satellite Image Time Series: Application to Grassland Species Diversity Estimation. Remote. Sens. 9 (10) (2017)
Gildas Mazo, Stéphane Girard, Florence Forbes
A flexible and tractable class of one-factor copulas. Stat. Comput. 26 (5) (2016)
Laurent Gardes, Stéphane Girard
On the estimation of the functional Weibull tail-coefficient. J. Multivar. Anal. 146 (2016)
Fabrizio Durante, Stéphane Girard, Gildas Mazo
Marshall-Olkin type copulas generated by a global shock. J. Comput. Appl. Math. 296 (2016)
Maïlys Lopes, Mathieu Fauvel, Stéphane Girard, David Sheeren
High dimensional Kullback-Leibler divergence for grassland management practices classification from high resolution satellite image time series. IGARSS (2016)
Charles Bouveyron, Mathieu Fauvel, Stéphane Girard
Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Stat. Comput. 25 (6) (2015)
Laurent Gardes, Stéphane Girard
Nonparametric estimation of the conditional tail copula. J. Multivar. Anal. 137 (2015)
Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 12 (12) (2015)
Gildas Mazo, Stéphane Girard, Florence Forbes
A class of multivariate copulas based on products of bivariate copulas. J. Multivar. Anal. 140 (2015)
Laurent Amsaleg, Oussama Chelly, Teddy Furon, Stéphane Girard, Michael E. Houle, Ken-ichi Kawarabayashi, Michael Nett
Estimating Local Intrinsic Dimensionality. KDD (2015)
Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
Parsimonious Gaussian process models for the classification of multivariate remote sensing images. ICASSP (2014)
Raphaël Coudret, Stéphane Girard, Jérôme Saracco
A new sliced inverse regression method for multivariate response. Comput. Stat. Data Anal. 77 (2014)
Alexander V. Nazin, Stéphane Girard
L 1-optimal linear programming estimator for periodic frontier functions with Hölder continuous derivative. Autom. Remote. Control. 75 (12) (2014)
Marie Chavent, Stéphane Girard, Vanessa Kuentz-Simonet, Benoit Liquet, Thi Mong Ngoc Nguyen, Jérôme Saracco
A sliced inverse regression approach for data stream. Comput. Stat. 29 (5) (2014)
Stéphane Girard, Armelle Guillou, Gilles Stupfler
Frontier estimation with kernel regression on high order moments. J. Multivar. Anal. 116 (2013)
Smriti Joshi, Anne Lombardot, Marc Belleville, Edith Beigné, Stéphane Girard
A gate level methodology for efficient statistical leakage estimation in complex 32nm circuits. DATE (2013)
Smriti Joshi, Anne Lombardot, Philippe Flatresse, Carmelo D'Agostino, Andre Juge, Edith Beigné, Stéphane Girard
Statistical Estimation of Dominant Physical Parameters for Leakage Variability in 32 Nanometer CMOS, Under Supply Voltage Variations. J. Low Power Electron. 8 (1) (2012)
Charles Bouveyron, Gilles Celeux, Stéphane Girard
Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA. Pattern Recognit. Lett. 32 (14) (2011)
Laurent Gardes, Stéphane Girard, Alexandre Lekina
Functional nonparametric estimation of conditional extreme quantiles. J. Multivar. Anal. 101 (2) (2010)
Caroline Bernard-Michel, Laurent Gardes, Stéphane Girard
Gaussian Regularized Sliced Inverse Regression. Stat. Comput. 19 (1) (2009)
Patrick Loiseau, Paulo Gonçalves, Stéphane Girard, Florence Forbes, Pascale Vicat-Blanc Primet
Maximum likelihood estimation of the flow size distribution tail index from sampled packet data. SIGMETRICS/Performance (2009)
Charles Bouveyron, Stéphane Girard
Robust supervised classification with mixture models: Learning from data with uncertain labels. Pattern Recognit. 42 (11) (2009)
Charles Bouveyron, Stéphane Girard
Classification supervisée et non supervisée en grande dimension. Monde des Util. Anal. Données 40 (2009)
Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard
Support vectors machines regression for estimation of mars surface physical properties. ESANN (2009)
Caroline Bernard-Michel, Sylvain Douté, Mathieu Fauvel, Laurent Gardes, Stéphane Girard
Machine learning techniques for the inversion of planetary hyperspectral images. WHISPERS (2009)
Charles Bouveyron, Stéphane Girard, Madalina Olteanu
Supervised classification of categorical data with uncertain labels for DNA barcoding. ESANN (2009)
Stéphane Girard, Pierre Jacob
Frontier estimation with local polynomials and high power-transformed data. J. Multivar. Anal. 100 (8) (2009)
Caroline Bernard-Michel, Sylvain Douté, Laurent Gardes, Stéphane Girard
Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression. ESANN (2008)
Charles Bouveyron, Stéphane Girard, Cordelia Schmid
High-dimensional data clustering. Comput. Stat. Data Anal. 52 (1) (2007)
Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard
Object Localization by Subspace Clustering of Local Descriptors. ICVGIP (2006)
Charles Bouveyron, Stéphane Girard, Cordelia Schmid
Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. SLSFS (2005)
Ali Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco
Sliced inverse regression in reference curves estimation. Comput. Stat. Data Anal. 46 (1) (2004)
Ali Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco
Implémentation en C d'estimateurs non paramétriques de quantiles conditionnels. Application au tracé de courbes de référence. Monde des Util. Anal. Données 31 (2004)
Jean Diebolt, Jérôme Ecarnot, Myriam Garrido, Stéphane Girard, Dominique Lagrange
Le logiciel EXTREMES, un outil pour l'étude des queues de distribution. Monde des Util. Anal. Données 30 (2003)
Stéphane Girard
A nonlinear PCA based on manifold approximation. Comput. Stat. 15 (2) (2000)